When a “Feminist” Government Tackles Gender-Based Violence: A WPR Approach to the Speeches of Canadian Cabinet Ministers (2015–2019)
Bibliographic record
Abstract
Abstract Ending gender-based violence was a central promise of Prime Minister Justin Trudeau's self-declared feminist government. Executive speeches about gender-based violence provide clues about what types of feminist ideas undergird the 42nd Parliament. Was carceral feminism advanced, by focusing on punishment? Or neoliberalized feminist ideas, by focusing on the market? Or social justice feminist ideas, by focusing on systemic change? Applying the concept of governance feminism and using Bacchi's WPR approach, this article investigates how gender-based violence is problematized in English- and French-language House of Commons debates in the 42nd Parliament by the cabinet. The speeches problematize gender-based violence as preventable and caused by systemic issues, but this transformational discourse is undermined by a focus on strengthening carceral responses and limiting human potential to economic productivity. Feminist ideas about gender-based violence were adopted, relying on carceral and neoliberalized feminist ideas. The Trudeau Liberals’ campaign for change was discursively undermined.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.031 | 0.018 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".